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Muhammad Ahsan Javed

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Senior Lecturer – Colorectal Surgery

University of Liverpool

United Kingdom

Research Interests

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Recent Grants

Grant: Close

Travelling fellowship, Bowel Research UK

Open Date: 2026-05-01

Close Date: 2026-09-01

Grant: Close

A Multimodal Predictive Model using Artificial Intelligence for Predicting Response to Chemoradiotherapy in Rectal Cancer

Open Date: 2025-11-01

Close Date: 2026-10-01

Grant: Close

Using Artificial Intelligence for diagnosis of Anal SCC

Open Date: 2025-11-01

Close Date: 2025-11-01

Grant: Open

Evaluating the role of faecal microbiome in assessing response to neoadjuvant treatment, surveillance and nutritional prehabilitation in colorectal cancer

Open Date: 2025-08-01

Close Date: 2027-08-01

Grant: Close

Digital solutions to improve colorectal cancer care and improve efficiency of pathways

Open Date: 2025-04-01

Close Date: 2026-08-01

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Collaborators (14)

Timon Vandamme

Assistant Professor

University of Antwerp

BELGIUM

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Stamatia Giannarou

Lecturer in Surgical Cancer Technology and Imaging

Imperial College London

UNITED KINGDOM

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Guilherme Macedo

São João University Hospital

PORTUGAL

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David Mark Pritchard

Personal Chair

University of Liverpool

UNITED KINGDOM

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GARCIA PEREZ JUAN CARLOS

PROFESOR ASOCIADO DE CIENCIAS DE LA SALUD

Universidad de Alcalá

SPAIN

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Michele Fiore

Università Campus Bio-Medico di Roma

ITALY

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Richard Adams

Professor

Cardiff University

UNITED KINGDOM

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James Kinross

Imperial College London

UNITED KINGDOM

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Mindy Duffourc

University of Maastricht

NETHERLANDS

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Michele Ghidini

Docenti di ruolo di IIa fascia

University of Insubria

ITALY

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João Pedro Ferreira

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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Dale Vimalachandran

Reader in Colorectal Surgery

University of Liverpool

UNITED KINGDOM

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Miguel Mascarenhas Saraiva

University of Porto

PORTUGAL

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Laura Bonnett

Reader

University of Liverpool

UNITED KINGDOM

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Muhammad Ahsan Javed

Research Interests

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Recent Grants

Articles (20)

Mismatch repair deficiency or microsatellite instability in locally advanced rectal cancer patients treated with total neoadjuvant therapy

Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy

Real-Time Application of Artificial Intelligence for Automatic Detection of High-Grade Squamous Intraepithelial Lesions During High-Resolution Anoscopy

Artificial Intelligence for Anal Cancer Screening: First Multicentric Validation of an Interoperable System for Simultaneous Detection and Differentiation of Squamous Cell Precursor Lesions

First Clinical Evaluation of Real Time Artificial Intelligence for Detection of High Grade Squamous Intraepithelial Lesions in High Resolution Anoscopy

Clinical Prediction Models for Contact X-Ray Brachytherapy in Managing Rectal Cancers: A Scoping Review.

A Novel Deep Learning Model for Predicting Colorectal Anastomotic Leakage: A Pioneer Multicenter Transatlantic Study

Artificial Intelligence and Colposcopy: Detection and Classification of Vulvar HPV-Related Low-Grade and High-Grade Squamous Intraepithelial Lesions

The ACPGBI AI taskforce report

Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer

Long-term outcomes of patients treated with contact X-ray brachytherapy and external beam (chemo)radiotherapy following local excision of rectal adenocarcinoma

Contact X-ray brachytherapy in rectal cancer: A systematic review and meta-analysis

Pouch excision, dysplasia and polypectomy in familial adenomatous polyposis ileal pouch anal anastomosis: a retrospective analysis

IDENTIFICAÇÃO ASSISTIDA POR INTELIGÊNCIA ARTIFICIAL DE DOENÇA RESIDUAL OU RECORRENTE EM PACIENTES COM CÂNCER RETAL LOCALMENTE AVANÇADO APÓS RESPOSTA CLÍNICA COMPLETA À QUIMIORRADIOTERAPIA NEOADJUVANTE

S365 Deep Learning and the Detection of Residual or Recurrent Disease in Rectal Cancer After Total Neoadjuvant Therapy

S472 A Novel Deep Learning Model for Predicting Colorectal Anastomotic Leakage: A Pioneer Multicenter Transatlantic Study

S572 Deep Learning and High Resolution Anoscopy: First Trinary Interoperable Model for Detecting and Differentiating Clinically Relevant Anal Lesions

DEEP LEARNING VERSUS GENERATIVE AI IN GASTROINTESTINAL ENDOSCOPY: CONVOLUTIONAL NEURAL NETWORKS OUTPERFORM CHATGPT-4 IN GASTROINTESTINAL IMAGING ANALYSIS

Artificial Intelligence for Automatic Detection and Differentiation of Anal HPV-related Dysplastic Lesions: An Interoperable Multicentric Study

Evaluating the Potential of Generative AI in Digestive Endoscopy: ChatGPT-4 for Advanced Image Analysis in Gastroenterology

Collaborators (14)

Timon Vandamme

Stamatia Giannarou

Guilherme Macedo

David Mark Pritchard

GARCIA PEREZ JUAN CARLOS

Michele Fiore

Richard Adams

James Kinross

Mindy Duffourc

Michele Ghidini

João Pedro Ferreira

Dale Vimalachandran

Miguel Mascarenhas Saraiva

Laura Bonnett

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